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Publication Detail
Automated texture recognition of quartz sand grains for forensic applications.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Article
  • Authors:
    Newell AJ, MORGAN RM, Bull PA, Griffin LD, Graham G
  • Publication date:
    2012
  • Journal:
    Journal of Forensic Sciences
  • Status:
    Accepted
  • Country:
    US
Abstract
Quartz sand surface texture analysis has been automated for the first time for forensic application. The derived Basic Image Features (BIFs) provide computer generated texture recognition from pre-existing datasets. The technique was applied to two distinct classification problems; firstly the ability of the system to discriminate between (quartz) sand grains with upturned plate features (indicative of aeolian, global sand sea environments) and grains which do not exhibit these features. A success rate of grain classification of 98.8% was achieved. Secondly, to test the ability of the computer recognition system to identify specific energy levels of formation of the upturned plate surface texture features. Such recognition ability has to date been beyond manual geological interpretation. The discrimination performance was enhanced to an exact classification success rate of 81%. The enhanced potential for routine forensic investigation of the provenance of common quartz sand is indicated.
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Dept of Computer Science
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Dept of Security and Crime Science
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